T. Swetnam

发表

UAV hyperspectral and lidar data and their fusion for arid and semi‐arid land vegetation monitoring

T. Sankey, J. McVay, T. Swetnam, 2018 .

Laser vision: lidar as a transformative tool to advance critical zone science

Steve W. Lyon, Christopher J. Crosby, Nancy F. Glenn, 2015 .

Application of Metabolic Scaling Theory to reduce error in local maxima tree segmentation from aerial LiDAR

Donald A. Falk, Tyson L. Swetnam, T. Swetnam, 2014 .

Cordilleran Forest Scaling Dynamics And Disturbance Regimes Quantified By Aerial LiDAR

T. Swetnam, 2013 .

Harnessing the NEON data revolution to advance open environmental science with a diverse and data‐capable community

Kathleen R. Smith, Steven S. Chong, Adam L. Mahood, 2021, Ecosphere.

Fusing tree-ring and forest inventory data to infer influences on tree growth

Kent E. Holsinger, Flurin Babst, Donald A. Falk, 2016, bioRxiv.

Fusing tree-ring and forest inventory data to infer influences on tree growth

K. Holsinger, T. Swetnam, F. Babst, 2016, bioRxiv.

Extreme drought and adaptive resource selection by a desert mammal

T. Swetnam, P. Krausman, John R. Morgart, 2020 .

Estimating Forage Utilization with Drone-Based Photogrammetric Point Clouds

Jeffrey K. Gillan, T. Swetnam, M. McClaran, 2019, Rangeland Ecology & Management.

Working Paper 35: Carbon Cycling in Southwestern Forests: Reservoirs, Fluxes, and the Effects of Fire and Management

T. Swetnam, D. Falk, 2015 .

Ten simple rules to cultivate transdisciplinary collaboration in data science

Tracy K. Teal, Nirav C. Merchant, S. Kobourov, 2021, PLoS Comput. Biol..

Coevolution of nonlinear trends in vegetation, soils, and topography with elevation and slope aspect: A case study in the sky islands of southern Arizona

Thomas Meixner, Marcel G. Schaap, Ciaran J. Harman, 2013 .

Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

B. D. Morrison, Kim S. Ely, T. Swetnam, 2022, Journal of Ecology.

Growth and demography of Pinaleno high elevation forests

Christopher D. O’Connor, T. Swetnam, T. Swetnam, 2010 .

LiDAR-based estimation of forest floor fuel loads using a novel distributional approach

T. Swetnam, J. Aardt, M. Arthur, 2011 .

A net ecosystem carbon budget for snow dominated forested headwater catchments: linking water and carbon fluxes to critical zone carbon storage

J. Pelletier, M. Litvak, T. Swetnam, 2018, Biogeochemistry.

Rangewide habitat suitability analysis for the Mexican wolf (Canis lupus baileyi) to identify recovery areas in its historical distribution

Stewart G. Liley, T. Swetnam, E. Martínez‐Meyer, 2021, Diversity and Distributions.

On the Use of Standardized Multi-Temporal Indices for Monitoring Disturbance and Ecosystem Moisture Stress across Multiple Earth Observation Systems in the Google Earth Engine

Donald A. Falk, Samapriya Roy, Tyson L. Swetnam, 2021, Remote. Sens..

Asymmetry of weathering‐limited hillslopes: the importance of diurnal covariation in solar insolation and temperature

J. Pelletier, T. Swetnam, 2017 .

Which way do you lean? Using slope aspect variations to understand Critical Zone processes and feedbacks

J. Pelletier, G. Tucker, G. Niu, 2018 .

Movement of Sediment Through a Burned Landscape: Sediment Volume Observations and Model Comparisons in the San Gabriel Mountains, California, USA

T. Swetnam, M. Dobre, P. Robichaud, 2021, Journal of Geophysical Research: Earth Surface.

Estimating individual tree mid- and understory rank-size distributions from airborne laser scanning in semi-arid forests

S. Yool, T. Swetnam, D. Falk, 2014 .

Topographically driven differences in energy and water constrain climatic control on forest carbon sequestration

Adrian A. Harpold, Tyson L. Swetnam, T. Swetnam, 2017 .

Discriminating disturbance from natural variation with LiDAR in semi-arid forests in the southwestern USA

Ann M. Lynch, Donald A. Falk, Tyson L. Swetnam, 2015 .

UAS-Based Plant Phenotyping for Research and Breeding Applications

Ashutosh Kumar Singh, Nirav C. Merchant, S. Sarkar, 2021, Plant phenomics.

Scaling GIS analysis tasks from the desktop to the cloud utilizing contemporary distributed computing and data management approaches: A case study of project-based learning and cyberinfrastructure concepts

Yan Liu, Viswanath Nandigam, Christopher J. Crosby, 2016, XSEDE.

Quantifying Topographic and Vegetation Effects on the Transfer of Energy and Mass to the Critical Zone

Peter A. Troch, Craig Rasmussen, Jon D. Pelletier, 2015 .

Ten simple rules for organizing a data science workshop

Maliaca Oxnam, Eric Lyons, Alise Ponsero, 2020, PLoS Comput. Biol..

CyVerse: Cyberinfrastructure for Open Science

John M. Fonner, Nirav C. Merchant, Blake L. Joyce, 2023, bioRxiv.

Tree Morphologic Plasticity Explains Deviation from Metabolic Scaling Theory in Semi-Arid Conifer Forests, Southwestern USA

Christopher D. O’Connor, T. Swetnam, A. Lynch, 2016, PloS one.

Reconstructing Landscape Pattern of Historical Fires and Fire Regimes

Calvin A. Farris, T. Swetnam, D. Falk, 2011 .

Allometric relationships between primary size measures and sapwood area for six common tree species in snow-dependent ecosystems in the Southwest United States

T. Swetnam, B. Mitra, S. Papuga, 2019, Journal of Forestry Research.

Considerations for Achieving Cross-Platform Point Cloud Data Fusion across Different Dryland Ecosystem Structural States

Mary H. Nichols, Philip Heilman, Mitchel P. McClaran, 2018, Front. Plant Sci..

Reimagine fire science for the anthropocene.

Megan K. Jennings, Christopher I. Roos, Rachel S. Meyer, 2022, PNAS nexus.

LiDAR‐derived snowpack data sets from mixed conifer forests across the Western United States

T. Swetnam, N. Molotch, J. Fernandez-Diaz, 2014 .

Using knowledge graphs to infer gene expression in plants

T. Swetnam, J. Reese, P. Jaiswal, 2023, Frontiers in Artificial Intelligence.

Jetstream—Early operations performance, adoption, and impacts

Matthew W. Vaughn, Marlon E. Pierce, Craig A. Stewart, 2018, Concurr. Comput. Pract. Exp..

Comparing selected fire regime condition class (FRCC) and LANDFIRE vegetation model results with tree-ring data.

T. Swetnam, P. Brown, 2010 .

PhytoOracle: Scalable, modular phenomics data processing pipelines

Nirav C. Merchant, T. Swetnam, R. Michelmore, 2023, Frontiers in Plant Science.

Fact Sheet: Carbon Cycling in Southwestern Forests: Reservoirs, Fluxes, and the Effects of Fire and Management

T. Swetnam, D. Falk, 2015 .